Call For Paper Volume:7 Issue:9 Sep'2020 |

IFS Code As Feature in Face Recognition System

Publication Date : 06/09/2016

DOI : 10.21884/IJMTER.2016.3034.BXLYE

Author(s) :

Suaad Muhsen Saber , Jamila Harbi Al-A’meri .

Volume/Issue :
Volume 3
Issue 8
(09 - 2016)

Abstract :

Abstract—In the current research an experimental study of method of face recognition that based on fractal image encoding has been carried out in details .The feature of self-similarity is utilizing to encode an image for facial image recognition by capturing intrinsic self-similarity within the image. Fractal image encoding method has some invariance to scaling, translation, rotation and luminance. Fractal image encoding method encode an image to extract the feature of the holist face and to make a decision in matching step of the system, it consists of the binary file which it includes: fractal code (IFS code sets), dimensional and parameters of the face image. Face recognition is done by get the highest Peak Signal-to-Noise Ratio (PSNR) of decoding image that resulting from the process of iterated all the IFS code that has been stored in the database multiple time and the image with the highest PSNR is recognized image .In the result part, the proposed method is applied on FEI database and the accuracy rate reached 88.1% when face image at side profile orientation are within 45 degree.

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IFS Code As Feature in Face Recognition System

August 30, 2016